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krishnanlab
A Python toolkit for setting up benchmarking dataset using biomedical networks
Need a main script (cli). Main config options: * Network * Prediction model and triner * Label set collection (and filtering options) * Splitting strategy Helper libraries for managing experiments/configs...
https://stackoverflow.com/questions/16571150/how-to-capture-stdout-output-from-a-python-function-call
* The ids and names of the two labels * The sizes of the two labels * The score
After #202, consider the followings - [ ] Release with specific versions. - [ ] Option to pull data from archive or from original sources or other APIs (subject to...
E.g., Dropbox, Wasabi, AWS, etc. Need to automatically generate the dropbox url that corresponds to the specific versioned data
- [ ] `label.filters` - [ ] Graph transformations (e.g., to_dense, to_feature, largest_connected_component)
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A Python toolkit for setting up benchmarking dataset using biomedical networks